| 基于智能手环的动车司机疲劳驾驶检测系统 |
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| 引用本文： | 杨栋.基于智能手环的动车司机疲劳驾驶检测系统[J].铁路计算机应用,2017,26(8):13-15. |
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| 作者姓名： | 杨栋 |
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| 作者单位： | 中国铁道科学研究院 电子计算技术研究所,北京 100081 |
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| 基金项目： | 中国铁路总公司科技研究开发计划课题（J2016X011） |
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| 摘 要： | 基于智能手环的动车司机疲劳驾驶检测系统可对疲劳驾驶行为进行报警,对高速铁路行车安全至关重要。本文阐述系统的整体设计和各模块功能,分析智能手环的工作原理和手部加速度信息的采集过程。在分析动车司精神状态与手部运动关系的基础上,给出手部运动系数的概念,并运用K-means聚类算法进行分析处理,提出一种动车司机疲劳驾驶检测模型。在动车组驾驶室搭建原型系统,阐述系统的实现过程,并在高速铁路试验段进行试验,试验结果表明,该系统对司机疲劳驾驶检测的准确率达到93.6%。
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| 关 键 词： | 疲劳驾驶 K-means算法 智能手环 |
| 收稿时间： | 2017-03-14 |
Fatigue driving detection system for EMU drivers based on smart bracelet |
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| Institution: | Institute of Computing Technologies, China Academy of Railway Sciences, Beijing 100081, China |
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| Abstract: | Fatigue driving detection system for EMU drivers based on smart bracelet can alarm the fatigue driving behavior, which is very important to the traffic safety of high-speed railway. This article described the overall design of the system and the function of each module, analyzed the working principle of smart bracelet and the acquisition process of hand acceleration information, based on the analysis of the relationship between the mental state and the hand movement, given the concept of motion coefficient of the hand part, used K-means clustering algorithm for analysis and processing, proposed a fatigue driving detection model for EMU drivers, described the implementation process of the system, built a prototype system in the EMU cab, carried out experiments in the high-speed railway test section. Experimental results showed that the system had higher accuracy in fatigue driving detection |
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